Amazon
Demand Planning Manager
$129K–$193K
Austin, TX +1 · Manager · Full-time · Posted Sep 29, 2026
- Location
- Austin, TX
Nashville, TN - Experience
- 5+ years in each of the stated cross-functional work, team management, cross-functional project delivery, program or project management, and supply chain areas.
- Education
- Bachelor's degree
About the job
Leads a team that develops and improves demand plans, using customer and business signals, analytics, automation, and forecasting technology to improve supply chain outcomes.
What you'll do
- Lead and develop the demand planning team and own the end-to-end planning process, including forecast creation, validation, measurement, and improvement.
- Partner across Supply Chain, Finance, Technology, Operations, Procurement, and customer organizations to assess demand uncertainty and support planning decisions.
- Improve forecasting through automation, statistical methods, machine learning, and AI.
What they ask for
- 5+ years of experience in cross-functional work with tech and non-tech teams, team management, cross-functional project delivery, program or project management, and supply chain.
- Experience defining program requirements and using data and metrics to determine improvements.
- Bachelor's degree.
- Experience in forecasting, budgeting, variance analysis, and interpreting financial results across multiple business areas, or building and managing financial models for business forecasting and problem solving.
Nice to have
- Experience communicating results to senior leadership, implementing repeatable processes, and driving automation or standardization; experience managing teams of 3 or more.
- Master's degree; experience with ERP systems (e.g., SAP, Oracle, Workday), Excel, reporting tools, or large-scale data mining tools such as Power BI, Python, SQL, or Tableau.
Pay
128,600.00 - 173,900.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
SAP, Oracle, Workday, Excel, Power BI, Python, SQL, Tableau
AI focus
Advance statistical forecasting, machine learning, and AI to improve forecast quality and reduce manual reconciliation and judgment.
Model-written summary · the original posting is authoritative